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PhD Candidate (Promovendus) Changing climatic extremes impacting natural hazards

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Climatic extremes are a major trigger for many natural hazards and disasters, such as flooding, drought, and land slides that cause loss of life or property damage. Understanding of climate change is crucial for proper future hazard risk assessment. It is a challenge to incorporate non-stationary behavior of climate change in disaster risk assessment, where other actors, such as change in population growth, land-use, spatial planning, play an important role too. Exploring new ways to translate climate data into information for disaster risk reduction is a creative challenge where multiple fields meet.

The research will focus on optimizing use of climate data for hydro-meteorological hazard assessment. You will work on the development of a statistical toolbox, where non-stationary relationships between climatic extremes, climate change, and hydro-meteorological hazards will be combined. Advancing knowledge on the atmospheric conditions linking to hazardous conditions is a primarily goal of this research, using multiple data sources : e.g. in situ meteorological observations, atmospheric remote sensing data, local and regional hazard inventories and climate model data. One example is establishing the link between dominant atmospheric circulation patterns and reoccurrence of floods or landslides. The methods developed will be tested for data rich areas (such as the Netherlands) and applied to data sparse regions (typically countries in transition). The research will be highly multi-disciplinary. You will work on a 50/50 basis at both institutes, to optimize utilization of available data and knowledge at University of Twente and KNMI.

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